Taiwan Digital Learning Initiative and Big Data Analytics in Education Cloud

Stephen J. H. Yang, Chester S. J. Huang
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引用次数: 7

Abstract

Taiwan's Ministry of Education (MoE) started planning and promoting comprehensive Digital Learning Initiative in 2013. It is expected that teachers and students can use broadband networks in campus in 2017. Students can do online learning with different kinds of digital devices at any time. Besides, students can do ubiquitous learning by getting digital learning resources on cloud devices. Teachers can grasp innovative teaching strategies with the application of digital technology and design the learning activities that are more adaptive to individual students. Students have the information force of mobile learning, the abilities to use information tools and grasp the information, as well as Internet literacy and ethics. The learning model of education at all levels will transform into student-centered to facilitate justice, public, autonomy and adaptive learning opportunities as well as make students in the country and those in the city have equal digital learning opportunities. Digital Learning Initiative will have profound influence on education system. Education cloud (EduCloud) is the flagship of the digital learning initiative. This paper presents our research and experience of applying Big data analytics to the EduCloud. We address Big data infrastructure and analytics to cover the issues of data collection, cleaning, storage, query, analytics, and visualization in order to make EduCloud more suitable for teachers and students in Taiwan.
台湾数位学习计划与教育云中的大数据分析
台湾教育部(MoE)于2013年开始规划和推动全面的数字学习计划。预计在2017年,师生可以在校园使用宽带网络。学生可以随时使用各种数字设备进行在线学习。此外,学生可以通过云设备获取数字化学习资源,实现泛在学习。教师可以运用数字技术掌握创新的教学策略,设计更适合学生个体的学习活动。学生具备移动学习的信息力量,具备使用信息工具和掌握信息的能力,具备网络素养和网络道德。各级教育学习模式向以学生为中心转变,促进公平、公共性、自主性、适应性的学习机会,使城乡学生享有平等的数字化学习机会。数字化学习计划将对教育系统产生深远的影响。教育云(EduCloud)是数字学习计划的旗舰产品。本文介绍了我们将大数据分析应用于EduCloud的研究和经验。我们解决大数据基础设施和分析,涵盖数据收集,清理,存储,查询,分析和可视化问题,以使EduCloud更适合台湾的教师和学生。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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